Realizing high-quality digital image transmission via a satellite link, while optimizing resource distribution and minimizing battery consumption, is a challenging task. This paper describes a methodology to optimize a turbo-encoded wavelet-based satellite downlink progressive image transmission system with unequal error protection (UEP) techniques. To achieve that goal, we instantiate a generic UEP methodology onto the system, and demonstrate that the proposed solution has little impact on the average performance, while greatly reducing the run-time complexity. Based on a simple design-time distortion model and a low-complexity run-time algorithm, the provided solution can dynamically tune the systems configuration to any bitrate constraint or channel condition. The resulting system outperforms in terms of peak signal-to-noise ratio (PSNR), a state-of-the-art, fine-tuned equal error protection (EEP) solution by as much as 2 dB.
Salemi, E, Desset, C, Dejonghe, A, Cornelis, J & Schelkens, P 2008, 'A Low-Complexity UEP Methodology Demonstrated on a Turbo-Encoded Wavelet Image Satellite Downlink', EURASIP Journal on Wireless Communications and Networking, vol. 2008.
Salemi, E., Desset, C., Dejonghe, A., Cornelis, J., & Schelkens, P. (2008). A Low-Complexity UEP Methodology Demonstrated on a Turbo-Encoded Wavelet Image Satellite Downlink. EURASIP Journal on Wireless Communications and Networking, 2008.
@article{f0dd1afc810240558e65baac9a201eda,
title = "A Low-Complexity UEP Methodology Demonstrated on a Turbo-Encoded Wavelet Image Satellite Downlink",
abstract = "Realizing high-quality digital image transmission via a satellite link, while optimizing resource distribution and minimizing battery consumption, is a challenging task. This paper describes a methodology to optimize a turbo-encoded wavelet-based satellite downlink progressive image transmission system with unequal error protection (UEP) techniques. To achieve that goal, we instantiate a generic UEP methodology onto the system, and demonstrate that the proposed solution has little impact on the average performance, while greatly reducing the run-time complexity. Based on a simple design-time distortion model and a low-complexity run-time algorithm, the provided solution can dynamically tune the systems configuration to any bitrate constraint or channel condition. The resulting system outperforms in terms of peak signal-to-noise ratio (PSNR), a state-of-the-art, fine-tuned equal error protection (EEP) solution by as much as 2 dB.",
keywords = "unequal error protection, forward error correction, image coding, satellite communication",
author = "Eric Salemi and Claude Desset and Antoine Dejonghe and Jan Cornelis and Peter Schelkens",
year = "2008",
language = "English",
volume = "2008",
journal = "EURASIP Journal on Wireless Communications and Networking",
issn = "1687-1499",
publisher = "Springer Publishing Company",
}